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Volumn 352, Issue 6287, 2016, Pages 825-828

Atmospheric science: Empirical evidence of contrasting soil moisture-precipitation feedbacks across the United States

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL VARIATION; ATMOSPHERIC MODELING; CLIMATE FEEDBACK; FEEDBACK MECHANISM; GRANGER CAUSALITY TEST; HEAT FLUX; HUMIDITY; MOISTURE FLUX; PERSISTENCE; PRECIPITATION (CLIMATOLOGY); RAINFALL; RAINGAUGE; REMOTE SENSING; SOIL MOISTURE; TEMPERATURE PROFILE;

EID: 84969242912     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.aaa7185     Document Type: Article
Times cited : (184)

References (32)
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    • 4143112257 scopus 로고    scopus 로고
    • R. D. Koster et al., Science 305, 1138-1140 (2004).
    • (2004) Science , vol.305 , pp. 1138-1140
    • Koster, R.D.1
  • 24
    • 84969189646 scopus 로고    scopus 로고
    • Materials and methods are available as supplementary materials on Science Online
    • Materials and methods are available as supplementary materials on Science Online.
  • 26
    • 77950952805 scopus 로고    scopus 로고
    • A method for deriving land surface soil moisture, vegetation optical depth, and open water fraction from AMSR-E
    • Cape Town, South Africa.
    • L. A. Jones et al., A method for deriving land surface soil moisture, vegetation optical depth, and open water fraction from AMSR-E. Proc. IEEE Geosci. Remote Sens. Symp. (IGARSS 2009), Cape Town, South Africa. 3, III-916-III-919 (2009).
    • (2009) Proc. IEEE Geosci. Remote Sens. Symp. (IGARSS 2009) , vol.3 , pp. III916-III919
    • Jones, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.